AbstractPhil/bulk-cc12m-features

bulk-cc12m-features — ten teacher towers over CC12M, plus their consensus Precomputed image-tower features for 10,968,539 CC12M images (all 2,176 shards of pixparse/cc12m-wds) from ten independent teacher extractions — eight CLIP variants across three pretraining corpora and two model scales, SigLIP, and DINOv3 — plus one derived consensus target. About 110 million feature vectors, roughly 130 GPU-hours of extraction, so that a student can be distilled against any of these… See the full description on the dataset page: https://huggingface.co/datasets/AbstractPhil/bulk-cc12m-features.